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Rust Gpu

Checked
huiali·vlatest·backend·MIT

Accelerates Rust code execution on GPUs using CUDA/Metal for computationally intensive backend tasks.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add huiali/rust-skills --skill rust-gpu -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

huiali

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned huiali/rust-skills at 947bf77509.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
947bf77509
Manifest
skills/rust-gpu/SKILL.md
Scanned
8 files, 1,044 lines
Copies in repo
2 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to leverage Rust's capabilities for GPU programming. It provides tools and libraries for writing high-performance code that can be executed on GPUs, facilitating tasks like machine learning model training and scientific simulations requiring parallel processing. The skill allows for efficient utilization of GPU resources within an agent’s workflow.

When to use it

  • Machine Learning Training: Accelerate the training process of computationally intensive machine learning models by offloading calculations to a GPU.
  • Scientific Simulations: Run complex physics or chemistry simulations that benefit from parallel processing on GPUs.
  • Image and Video Processing: Implement high-performance image and video processing pipelines, such as real-time object detection or video encoding/decoding.
  • Game Development: Develop game engines or tools requiring low-latency GPU rendering and calculations.

Key capabilities

  • Rust programming language support for GPU development.
  • Integration with GPU hardware and drivers.
  • Libraries for parallel computation on GPUs.
  • Tools for optimizing GPU code performance.

Example prompts

  • "Write a Rust program to perform matrix multiplication on the GPU."
  • "Generate CUDA kernels using Rust's macro system."
  • "Optimize this Rust GPU code snippet for maximum throughput."

Tips & gotchas

  • Requires familiarity with both Rust programming and GPU architecture concepts.
  • GPU driver compatibility can be a factor; ensure drivers are up-to-date.